Latest AI Updates
Track model, API, pricing, feature, and deprecation updates from official and public sources.
Open dashboardAIUpdateWatch helps you follow the AI market without jumping between dozens of provider pages, model cards, pricing tables, status pages, research feeds, and launch announcements.
Start with updates when you want to know what changed, pricing when cost matters, benchmarks when quality matters, and open-weight tracking when you need models you can inspect or run locally.
Follow model launches, API changes, pricing moves, deprecations, and infrastructure signals in one place.
Update feedCompare input price, output price, context windows, cached-price notes, and practical cost signals.
Cost deskCompare public leaderboard signals, frontier model quality, open-weight performance, and value metrics.
Benchmark layerEach dashboard is designed to answer a practical question: which model changed, which one is cheaper, which one is capable, which one is trending, or which signal needs verification.
Use pricing, capability, release, benchmark, and open-weight dashboards together before choosing a model for a product, article, workflow, or experiment.
The update and release dashboards help you see when a provider changes pricing, adds a model, retires an endpoint, or shifts capability.
Research, GitHub, launch, and news dashboards separate useful signals from noise so you can decide what deserves attention.
“The goal is simple: see what changed in AI, compare what matters, and make a better decision faster.”
Use this feed to scan recent model, provider, pricing, benchmark, tooling, and infrastructure changes before opening the full dashboard for deeper filtering.
How to use this dashboard
Use the search box to filter records, then sort the table columns to compare providers, models, dates, prices, and capability signals.
| 2026-04-29 | OpenRouter | Public model catalog | Data source | High | Public endpoint can be used to refresh model names, pricing, context windows, modalities, and supported parameters. |
| 2026-04-29 | LiteLLM | model_prices_and_context_window.json | Data source | High | Public JSON file can be used as a backup pricing and context-window source across many providers. |
| 2026-04-29 | Hugging Face | Open model hub | Data source | Medium | Free Hub metadata can power open-weight model tracking with downloads, likes, tags, and last-modified dates. |
Performance, cost, releases, infrastructure, and visibility all tell a different part of the AI story. Use the directory to move from a broad scan to the exact dashboard you need.
Track model, API, pricing, feature, and deprecation updates from official and public sources.
Open dashboardA chronological calendar of major AI model releases, product launches, and API availability changes.
Open dashboardCompare model input/output prices, context windows, cached input pricing, and official pricing links.
Open dashboardCompare text, vision, audio, video, tool calling, JSON mode, reasoning, embeddings, and long-context support.
Open dashboardTrack open-weight models by license, parameters, downloads, likes, GitHub activity, and local use cases.
Open dashboardRank frontier models using public benchmark signals and human preference leaderboards.
Open dashboardRank open models using public leaderboards, benchmark datasets, and model hub metrics.
Open dashboardFind the best-value models by comparing quality signals against cost per 1M tokens.
Open dashboardTrack deprecated models, replacement models, migration notes, and risk levels.
Open dashboardMonitor public status pages for AI API outages, incidents, and service interruptions.
Open dashboardTrack new AI papers, citations, arXiv categories, Hugging Face papers, and related GitHub repos.
Open dashboardTrack fast-growing AI repositories, releases, stars, forks, issues, and topics.
Open dashboardTrack new AI product launches and early adoption signals from public sources.
Open dashboardTrack adoption of AI SDKs, frameworks, packages, and infrastructure projects.
Open dashboardMonitor AI headlines, provider mentions, model mentions, and topic clusters.
Open dashboardCompare local GPU ownership costs against cloud GPU rental and API token pricing.
Open dashboardEstimate token markup by comparing raw hosting costs with public API token prices.
Open dashboardTrack public GPU marketplace pricing and availability signals for AI workloads.
Open dashboardTrack AI incidents, harm categories, affected sectors, countries, and source reports.
Open dashboardTrack adoption, investment, policy activity, and country-level AI indicators.
Open dashboardTrack how often brands, apps, or websites appear in model answers using manual or public observation logs.
Open dashboardMap how AI systems, news, and communities describe a topic or brand over time.
Open dashboardTrack domains and URLs cited by AI answer engines and AI search results.
Open dashboardTrack output length, refusal rate, correctness, formatting quality, and tone across repeated prompts.
Open dashboardMap which tools, frameworks, SDKs, and platforms support each model/provider.
Open dashboardStart with the dashboard directory, then use the source and methodology pages to understand how each signal should be interpreted.